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Record W4381799052 · doi:10.1007/s11858-023-01498-z

Mathematics education for STEM as place

2023· article· en· W4381799052 on OpenAlex
Cynthia Nicol, Jennifer S. Thom, Edward Doolittle, Florence Glanfield, Elmer Ghostkeeper

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZDM · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of AlbertaFirst Nations University of CanadaUniversity of VictoriaUniversity of British Columbia
Fundersnot available
KeywordsMathematics educationResource (disambiguation)Place-based educationIndigenousPedagogyMathematicsSociologyEcologyEnvironmental educationComputer scienceBiology

Abstract

fetched live from OpenAlex

Abstract Positioned within Indigenous and ecological discourses, our paper reconsiders human-centered relationships with earth and activities such as STEM that view earth as commodity, resource, and platform. In doing so, we turn to the ways earth (e.g., rivers, forests, animals) teaches mathematics education for STEM as place and reveals intelligences that exceed those of humankind. Using examples of place and land, we illustrate how such a conception contrasts with current calls and goals for STEM and integrated STEM education. We contend that comprehending STEM as place renews potential for success to be defined “as the continuity of life”; that is, all that concerns the natural world, including human wellbeing in general, and in particular mathematics and mathematics education. To conclude, we propose research directions to study mathematical ways of being, mathematics, and mathematics education for STEM as place . We include possible implications and pathways for such work which prompts (re)visioning and (re)enacting mathematics education to be for STEM as place .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.360
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it